Skip to content

Fix Templates #67

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
d-pamneja merged 1 commit into from
Feb 25, 2026
Merged

Fix Templates #67

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion kits/.gitignore
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,3 @@
/special/
*/stock-analysis/
./kits/agentic/stock-analysis/
.next
364 changes: 0 additions & 364 deletions templates/indexation/templates.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4499,176 +4499,6 @@
"complexity": "beginner",
"enrichedDescription": "This flow acts as an introduction to RAG, where you can ask a query based on a given text and get your answers from that specific knowledge base. Industries: Technology & Software, Education. Use cases: Document Q&A. Roles: Engineer. Complexity: beginner."
},
{
"id": "40551442-2e32-408b-8599-cbfd41c4435d",
"name": "Invoice Summariser",
"description": "This AI-powered invoice summarization workflow processes invoices, extracts key details like total amounts, due dates, and vendor information, and generates structured JSON output.",
"deployUrl": "https://studio.lamatic.ai/_?templateSlug=invoice-summariser",
"rawNodes": [
{
"id": "triggerNode_1",
"type": "triggerNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "graphqlNode",
"trigger": true,
"values": {
"nodeName": "API Request",
"responeType": "realtime",
"advance_schema": "{\n \"url\": \"string\"\n}"
}
}
},
{
"id": "extractFromFileNode_525",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "extractFromFileNode",
"values": {
"nodeName": "Extract from File",
"trim": false,
"ltrim": false,
"quote": "\"",
"rtrim": false,
"format": "pdf",
"comment": "null",
"fileUrl": "{{triggerNode_1.output.url}}",
"headers": true,
"maxRows": "0",
"encoding": "utf8",
"password": "",
"skipRows": "0",
"delimiter": ",",
"joinPages": true,
"ignoreEmpty": false,
"returnRawText": false,
"encodeAsBase64": false,
"discardUnmappedColumns": false
}
}
},
{
"id": "LLMNode_103",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "LLMNode",
"values": {
"nodeName": "Generate Text",
"tools": [],
"prompts": [
{
"id": "187c2f4b-c23d-4545-abef-73dc897d6b7b",
"role": "system",
"content": "Extract structured JSON data from this invoice data from a pdf.\n\nInstructions:\n\n1. Convert the provided invoice PDF into a structured JSON format.\n2. Ensure the JSON output captures all relevant details, including company, customer, metadata, services, totals, payment, and transaction details. These are just examples, you can make the relevant keys and their respective values\n3. Include validation warnings if there are missing or inconsistent details.\n4. Do not return any output except the JSON.\n5. No leading statements or backticks with json written, just give the JSON object directly as it will be processed later.\n\nInput : {{extractFromFileNode_764.output.files}}"
}
],
"memories": "[]",
"messages": "[]",
"generativeModelName": {}
}
}
},
{
"id": "graphqlResponseNode_866",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "graphqlResponseNode",
"values": {
"nodeName": "API Response",
"outputMapping": "{\n \"output\": \"{{LLMNode_103.output.generatedResponse}}\"\n}"
}
}
}
],
"edges": [
{
"id": "triggerNode_1-extractFromFileNode_525",
"source": "triggerNode_1",
"target": "extractFromFileNode_525",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "extractFromFileNode_525-LLMNode_103",
"source": "extractFromFileNode_525",
"target": "LLMNode_103",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "LLMNode_103-graphqlResponseNode_866",
"source": "LLMNode_103",
"target": "graphqlResponseNode_866",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "response-graphqlResponseNode_866",
"source": "triggerNode_1",
"target": "graphqlResponseNode_866",
"sourceHandle": "to-response",
"targetHandle": "from-trigger",
"type": "responseEdge"
}
],
"available_nodes": {
"triggerNode": [
{
"nodeName": "API Request",
"nodeId": "graphqlNode",
"trigger": true
}
],
"dynamicNode": [
{
"nodeName": "Extract from File",
"nodeId": "extractFromFileNode",
"trigger": false
},
{
"nodeName": "Generate Text",
"nodeId": "LLMNode",
"trigger": false
},
{
"nodeName": "API Response",
"nodeId": "graphqlResponseNode",
"trigger": false
}
]
},
"industries": [
"Finance",
"Retail"
],
"useCases": [
"Data extraction"
],
"roles": [
"Operations",
"Manager"
],
"complexity": "intermediate",
"enrichedDescription": "This AI-powered invoice summarization workflow processes invoices, extracts key details like total amounts, due dates, and vendor information, and generates structured JSON output. Industries: Finance, Retail. Use cases: Data extraction. Roles: Operations, Manager. Complexity: intermediate."
},
{
"id": "f6c86618-b178-4e58-a178-0b6a9fcfe59f",
"name": "JSON Summariser",
Expand Down Expand Up @@ -6110,200 +5940,6 @@
"complexity": "beginner",
"enrichedDescription": "This AI-powered recipe generation system processes user-provided image links, identifies food items, and generates structured output, enabling seamless analysis and recipe ideation from food images. Industries: Other. Use cases: Content generation. Roles: Other. Complexity: beginner."
},
{
"id": "3c4658d3-2717-4bc2-8e11-2ae5dcbeccda",
"name": "Recipe Maker with Memory",
"description": "This AI-powered recipe generation system retains user preferences, dietary restrictions, and past interactions to generate personalised recipes with customised cooking instructions tailored to individual needs.",
"deployUrl": "https://studio.lamatic.ai/_?templateSlug=recipe-maker-with-memory",
"rawNodes": [
{
"id": "triggerNode_1",
"type": "triggerNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "graphqlNode",
"trigger": true,
"values": {
"nodeName": "API Request",
"responeType": "realtime",
"advance_schema": "{\n \"query\": \"string\",\n \"id\": \"int\"\n}"
}
}
},
{
"id": "memoryNode_396",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "memoryNode",
"values": {
"nodeName": "Memory Add",
"uniqueId": "{{triggerNode_1.output.id}}",
"sessionId": "",
"memoryValue": [
{
"role": "user",
"content": "{{triggerNode_1.output.query}}"
}
],
"memoryCollection": "receipeTest",
"embeddingModelName": {},
"generativeModelName": {}
}
}
},
{
"id": "memoryRetrieveNode_711",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "memoryRetrieveNode",
"values": {
"nodeName": "Memory Retrieve",
"limit": 10,
"filters": "[]",
"searchQuery": "What are the user preferences and what all have they told about their needs?",
"memoryCollection": "receipeTest",
"embeddingModelName": {},
"generativeModelName": {}
}
}
},
{
"id": "LLMNode_730",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "LLMNode",
"values": {
"nodeName": "Generate Text",
"tools": [],
"prompts": [
{
"id": "187c2f4b-c23d-4545-abef-73dc897d6b7b",
"role": "system",
"content": "You are a recipe expert who aids the user solve their meal requirements given the past memories you have of the user. Make sure it has no leading statements, just the final receipe.\n\nQUERY : {{triggerNode_1.output.query}}"
}
],
"memories": "{{memoryRetrieveNode_711.output.memories}}",
"messages": "[]",
"generativeModelName": {}
}
}
},
{
"id": "graphqlResponseNode_127",
"type": "dynamicNode",
"position": {
"x": 0,
"y": 0
},
"data": {
"nodeId": "graphqlResponseNode",
"values": {
"nodeName": "API Response",
"outputMapping": "{\n \"recipe\": \"{{LLMNode_730.output.generatedResponse}}\"\n}"
}
}
}
],
"edges": [
{
"id": "triggerNode_1-memoryNode_396",
"source": "triggerNode_1",
"target": "memoryNode_396",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "memoryNode_396-memoryRetrieveNode_711",
"source": "memoryNode_396",
"target": "memoryRetrieveNode_711",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "memoryRetrieveNode_711-LLMNode_730",
"source": "memoryRetrieveNode_711",
"target": "LLMNode_730",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "LLMNode_730-graphqlResponseNode_127",
"source": "LLMNode_730",
"target": "graphqlResponseNode_127",
"sourceHandle": "bottom",
"targetHandle": "top",
"type": "defaultEdge"
},
{
"id": "response-graphqlResponseNode_127",
"source": "triggerNode_1",
"target": "graphqlResponseNode_127",
"sourceHandle": "to-response",
"targetHandle": "from-trigger",
"type": "responseEdge"
}
],
"available_nodes": {
"triggerNode": [
{
"nodeName": "API Request",
"nodeId": "graphqlNode",
"trigger": true
}
],
"dynamicNode": [
{
"nodeName": "Memory Add",
"nodeId": "memoryNode",
"trigger": false
},
{
"nodeName": "Memory Retrieve",
"nodeId": "memoryRetrieveNode",
"trigger": false
},
{
"nodeName": "Generate Text",
"nodeId": "LLMNode",
"trigger": false
},
{
"nodeName": "API Response",
"nodeId": "graphqlResponseNode",
"trigger": false
}
]
},
"industries": [
"Other"
],
"useCases": [
"Content generation"
],
"roles": [
"Other"
],
"complexity": "intermediate",
"enrichedDescription": "This AI-powered recipe generation system retains user preferences, dietary restrictions, and past interactions to generate personalised recipes with customised cooking instructions tailored to individual needs. Industries: Other. Use cases: Content generation. Roles: Other. Complexity: intermediate."
},
{
"id": "0c5067cb-7bb6-40b6-98ae-2384ac248ca5",
"name": "Resume Parser",
Expand Down
Loading